A New Algorithm of Image Filtering Based on Matlab

To increase signal to noise ratio (SNR) and to stress on expectation characters, an improved adaptive minutia preserving smoothing algorithm is proposed using Matlab based on multi-scale and multidirectional masks. This algorithm keeps the mask´s good performance in preserving details. It divides image into sub-images according to the statistics from image gradation-gradient histogram, and the adaptive threshold value generate according to the gradient information of the whole and the local image. This method deals with the difficulty of choosing threshold and improves the automation of image smoothing. The results of experiments show that the improved algorithm has more better performance than that classical algorithm either in reducing noise efficiently in intra-region and at edges or in keeping line-like structures such as edges and textures.